| 微粒群算法在隧道爆破参数优化中的应用 |
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| 引用本文： | 禹春辉,朱传云,瞿立新. 微粒群算法在隧道爆破参数优化中的应用[J]. 水利与建筑工程学报, 2009, 7(3): 30-32,41 |
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| 作者姓名： | 禹春辉 朱传云 瞿立新 |
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| 作者单位： | 武汉大学,水利水电学院,湖北,武汉,430072;武汉大学,水利水电学院,湖北,武汉,430072;武汉大学,水利水电学院,湖北,武汉,430072 |
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| 摘 要： | 以隧道爆破开挖过程中成本作为目标函数,在钟汉荣爆破数学模型的基础上建立起隧道爆破参数优化数学模型。由于隧道钻爆开挖的爆破参数优化问题是一个复杂多变的非线性规划问题,且实际问题中决策变量的选择受到现实条件的限制,从而使得传统的数学方法对于此类问题难以求得,甚至无法求出最优解。采用微粒群算法求解隧道爆破参数的优化问题,结果证实了微粒群算法进行爆破参数优化的可行性与高效性。
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| 关 键 词： | 隧道开挖 爆破参数优化 非线性规划 微粒群算法 |
Application of Microparticle Swarm Algorithm in Optimization of Tunnel Blasting Parameters |
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| YU Chun-hui,ZHU Chuan-yun,QU Li-xin. Application of Microparticle Swarm Algorithm in Optimization of Tunnel Blasting Parameters[J]. Journal of Water Resources Architectural Engineering, 2009, 7(3): 30-32,41 |
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| Authors: | YU Chun-hui ZHU Chuan-yun QU Li-xin |
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| Affiliation: | College of Water Resources and Hydropower;Wuhan University;Wuhan;Hubei 430072;China |
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| Abstract: | Taking the tunnel blasting excavation cost as an objective function,an optimization model of the blasting parameters is established based on Zhong hanrong mathematical model.The optimization of blasting parameters in tunnel excavation is an ever-changing non-linear programming problem,as well as the practical problems in decision-making for the choice of variable conditions,so that the traditional mathematical methods are difficult to solve such problems,and even the optimal solution can not be obtained.The... |
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| Keywords: | tunnel excavation optimization of blasting parameters non-linear programming microparticle swarm algorithm |
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